Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.
- DOI
- 10.1016/j.csbj.2025.10.046
- Published
- 2025
- Container
- Computational and structural biotechnology journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.csbj.2025.10.046,
title = {Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.},
author = {Atitey K and Hughes CE and Fusco JC},
year = {2025},
journal = {Computational and structural biotechnology journal},
doi = {10.1016/j.csbj.2025.10.046},
url = {https://doi.org/10.1016/j.csbj.2025.10.046}
}RIS
TY - JOUR TI - Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling. AU - Atitey K AU - Hughes CE AU - Fusco JC PY - 2025 JO - Computational and structural biotechnology journal DO - 10.1016/j.csbj.2025.10.046 UR - https://doi.org/10.1016/j.csbj.2025.10.046 ER -
APA
K, A., CE, H., & JC, F. (2025). Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling.. Computational and structural biotechnology journal. https://doi.org/10.1016/j.csbj.2025.10.046
Source records
- pubmed · retrieved 2026-09-25T08:14:25.435Z